Multi-Dimensional Risk and Performance Analysis for Equity Portfolios

The present publication is drawn from the CACEIS research chair on “New Frontiers in Risk Assessment and Performance Reporting” at EDHEC-Risk Institute.

Présentation :

Multi-factor models are standard tools for analysing the performance and the risk of equity portfolios. In addition to analysing the impact of common factors, equity portfolio managers are also interested in analysing the role of stock-specific attributes in explaining differences in risk and performance across assets and portfolios.

In this study, EDHEC-Risk Institute explores a novel approach to address the challenge raised by the standard investment practice of treating attributes as factors, with respect to how to perform a consistent risk and performance analysis for equity portfolios across multiple dimensions that incorporate micro attributes.

EDHEC-Risk Institute’s study suggests a new dynamic meaningful approach, which consists in treating attributes of stocks as instrumental variables to estimate betas with respect to risk factors for explaining notably the cross-section of expected returns. In one example of implementation, the authors maintain a limited number of risk factors by considering a one-factor model, and they estimate a conditional beta that depends on the same three characteristics that define the Fama-French and Carhart factors.

In so doing, the authors introduce an alternative estimator for the conditional beta, which they name “fundamental beta” (as opposed to historical beta) because it is defined as a function of the stock’s characteristics, and they provide evidence of the usefulness of these fundamental betas for (i) parsimoniously embedding the sector dimension in multi- factor portfolio risk and performance analysis, (ii) building equity portfolios with controlled target factor exposure, and also (iii) explaining the cross-section of expected returns, by showing that a conditional CAPM based on this “fundamental” beta can capture the size, value and momentum effects as well as the Carhart model, but without the help of additional factors. 

Pdf
Multi-Dimensional Risk and Performance Analysis for Equity Portfolios...
(-1.00 B)
Type : Publication EDHEC
Date : le 03/11/2016
Complément d'informations
For more information, please contact EDHEC Research and Development Department [research@drd.edhec.edu]
Pôle de recherche Finance

A voir également

- 19-10-2017
  « Votre génération, je l’envie. Il y a un nouveau monde qui est en train d’émerger et votre génération devra le construire, c’est une chance inouie ! « s’exclame...
L’EDHEC entre dans le TOP 100 des Executive MBA mondiaux, selon le Financial Times 2017
- 14-10-2017
Après une entrée du Global MBA dans le FT en 2016, programme aujourd’hui classé 74ème...
LE BBA EDHEC, #2 DES FORMATIONS POST BAC EN 4 ANS SELON LE CLASSEMENT DE L’ETUDIANT, 2017-2018
- 11-10-2017
Ce classement de l’Etudiant a été établi en analysant les performances de 27 écoles de...
- 10-10-2017
Cette vague de recrutements répond aux ambitions du plan stratégique de l’EDHEC, qui s’est fixé comme objectif de recruter 50 professeurs entre 2015 et 2020. Depuis le démarrage de ce plan...